Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job DescriptionYou will be part of a very dynamic and fast-growing Analytics team at Experian Spain, and you will develop analytical solutions to the benefit of our clients and their customers. You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals, in the field of credit life cycle, risk management, fraud modelling or marketing. Technical, analytical, and communication skills are needed to interpret data and influence decision-making.
Main responsibilities:
· Data Processing: Implementing processes to clean, transform, and organize raw data for analysis
· Optimization: Enhancing data delivery and automating manual processes to improve efficiency
· Data Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patterns
· Data Visualization: Creating visual reports to clarify business pain points.
· Big data platforms: Using data/analytical platforms like Databricks, Cloudera, ...
· Statistical Techniques: Using statistical techniques to validate findings and ensure accuracy
· Machine Learning: Developing machine learning models and predictive algorithms to solve business problems
· Programming Skills: Applying programming languages and domain-specific tools for analysis
· Communication: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work
· Solving problems: Identify potential problems in the end to end process and take ownership for the resolution
Qualifications· 2–3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting sectors.
· Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics.
· Highly PC literate with thorough knowledge of statistical:
· Strong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages. PySpark, TensorFlow or PyTorch is an a plus
· Knowledge of R, SQL, and SQL Server is highly valued as an additional asset
· Experience with cloud-based data platforms (e.g., Databricks, Cloudera, and Snowflake)
· knowledge of Power BI for creating interactive dashboards
· Understanding of statistical techniques which may be used to address client business issues
· An innovative and inquisitive mind, focused on addressing and solving data and analysis problems
· Fluency in written and spoken English
Good to have
· Knowledge or hands-on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including Private Health Care and Experian wellness program
- Flexible schedule, hybrid model of teleworking
- Flexible time off including volunteer time off, personal leaves and paid holidays
Proud to be a Worlds Best Workplace 2025
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- 2-3 years of experience in statistical or analytical project work
- Degree or equivalent in a related field
- Strong proficiency in Python
- Knowledge of R, SQL, and SQL Server
- Experience with cloud-based data platforms
- Knowledge of Power BI
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
